Data Science Manager Jobs

About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire a Client Onboarding Director to own implementation delivery and client onboarding governance for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead Client Onboarding Managers and ensure that enterprise deployments move smoothly from sales closure to go live and early adoption. The role sits at the intersection of client teams, product, engineering, business, and sales, and is responsible for converting signed enterprise deals into successful, timely, and scalable deployments. The candidate will own delivery planning, integration governance, risk management, stakeholder communication, and post go live stabilization across enterprise AI agent deployments. The role requires strong program management, technical understanding, client handling, and ability to drive execution across multiple internal and external teams. Key Responsibilities Own end to end delivery governance for enterprise AI agent deployments from sales handoff to go live and stabilization. Lead the implementation planning process across scope, timelines, milestones, dependencies, risks, and success metrics. Ensure every enterprise deployment has a clear project plan, own

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Content Systems is the heart of Lyft's language ecosystem. The team is made up of two distinct disciplines, Content Design and Learning Experience Design, who create and own language across Lyft's in-app experiences that help customers succeed on the Lyft platform. We're looking for a Content Systems intern to join our team for the summer. This role will both help design and build our internal content system (think information architecture), and embed in a rotation of design teams as a content design/learning design partner in building products across the Lyft community. Of course, you won’t be alone. You'll work with designers, researchers, marketers, and product managers day in and day out to develop experiences that reach and resonate with riders. This internship will take place in our Toronto office during Summer 2027 . What we're looking for Responsibilities: Support our content system by establishing and translating information architecture to help manage content across Lyft Help teams reconsider existing systems and processes (eg publishing workflows) to align to the new information architecture Support product strategy and vision through content, working on projects as a content designer and learning experience designer Translate complicated concepts into clear in-product copy (UI, notifications, errors, and more) and learning materials Collaborate with designers, visual content creators, researchers, engineers, marketers, data science, product managers, and other stakeholders across tech and ops The ability to translate concepts across the UI, learning center, and knowledge base into connected content objects Manage multiple projects and competing priorities Maintain, evolve and champion the Lyft brand voice and style Skills: Excellent writing skills; ability to

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Safety is fundamental to the Lyft experience and to the trust riders, drivers, and our broader communities place in our platform. Lyft’s Safety and Customer Care team works through product, technology, data, policy, and operations to prevent harm before it happens, respond compassionately when it does, and continuously learn from every incident in efforts to make Lyft the safest way to get around. We are looking for an experienced safety leader with deep Trust & Safety experience to help turn Lyft’s Trust & Safety strategy into impact at scale, with the final shape of this role informed by the strengths of the leader we bring on. This is a highly visible leadership role within Lyft’s Safety & Customer Care organization. You will report to the Senior Director and General Manager of Trust & Safety and sit on the Trust & Safety leadership team. You will additionally partner deeply with Product, Engineering, Data Science, Research & Design, Legal, Compliance, Risk, Communications, Finance, and other teams across Lyft. The ideal candidate is an exceptional operator and people leader with Trust & Safety expertise, strong strategic judgment, and a track record of leading complex, high-stakes Trust & Safety organizations at scale. You can move fluidly between setting strategy with senior executives, developing leaders, overseeing large global operations and budgets, and diving into an emerging safety issue when the situation demands it. Responsibilities Lead Global Safety Compliance & Risk Oversee Lyft’s global safety compliance, transparency, and risk functions, supporting strong functional leaders and individual contributors on your team and strengthening capabilities as Lyft scales globally. Set direction across compliance readiness, safety transparency repo

About the Role: We're seeking a Director of Product Support Operations to lead the team that runs how Tubi's Tech Org plans, executes, and ships. PSO is a deliberately lean, AI-first team of Technical Program Managers and Customer Experience specialists built around three durable jobs: orchestrating agentic systems, people, and the cross-team programs that land Tubi's most complex initiatives for over 100 million monthly active users. You will own the Tech Org's most complex, company-level programs, spanning live events, platform integrations, monetization, and financial operations, along with the agentic systems that carry the org's operational load. You will also own the customer experience function end to end and run the Tech Org's operating cadences, including planning cycles, executive business reviews, and org-wide communications. You'll work closely with engineering, product, design, data science, and finance leaders as a trusted executive partner. This team consists of builders, not just coordinators. If you're passionate about building with AI rather than coordinating around it, landing complex programs at company scale, and developing world-class talent while staying hands-on yourself, this is the role for you. This is a hybrid role based out of our San Francisco, New York, Los Angeles, or Toronto offices. What You'll Do: Define the multi-year strategy and 12-month roadmap for Product Support Operations, aligning the portfolio with company objectives Lead, develop, and recruit high-performing Technical Program Management and Customer Experience team members, setting a high bar through direct feedback and rigorous performance management Operate as a player-coach: personally design, ship, and maintain agentic workflows and lead high-stakes programs while modeling the builder-TPM standard for the function Own execution of the Tech Org's most complex, company-level programs spanning multiple organizations and external partners, with impact validated by metrics

About the Team The Campaign Operations team’s mission is to deliver high-quality, relevant communications that meet the needs of our customers around the world. We build, test, and launch the retention marketing campaigns designed by our Lifecycle Marketing partners, and we’re focused on getting every campaign to the right audience on time and with strong craft. We’re growing our team of technical CRM specialists in Mexico City to support that mission. About the Role As an Associate, Campaign Operations, you will help build, test, and launch retention marketing campaigns using our email service platform (ESP), Braze, working from designs created by our Lifecycle Marketing partners. You’ll support the Campaign Operations Manager and our Lifecycle Marketing partners to help each campaign clear quality review and reach customers on time. This is a hands-on, individual-contributor execution and quality-review role, distinct from brand, content, social media, or performance-marketing positions, and a strong fit for someone early in their CRM or lifecycle-marketing career. This role will report to the Campaign Ops Manager who sits in Mexico City. You’re excited about this opportunity because you will… Help build, test, and launch retention marketing campaigns across email, push notification, and in-app channels using Braze and our internal tools. Support the quality-review process for each campaign, working with designers and copywriters and helping build the audience segments each campaign needs. Partner with our Lifecycle Marketing, Martech, Data Science, Product, Engineering, and Design teams on campaign goals and creative execution. Help monitor campaign performance and share ideas that improve quality, craft, and efficiency for future campaigns. Grow your CRM and campaign-operations skills by learning our internal marketing tools in depth and taking on more ownership over time. We’re excited about you because… 1+ years of experience in marketing, CRM, or lifecy

Lead RF Engineer - Aperture Architect Company: The Boeing Company Boeing Defense, Space & Security is seeking a Lead RF Engineer – Aperture Architect to serve as the engineering lead for the antennas and apertures on a major air proprietary program. As the Lead RF Engineer – Aperture Architect, you will provide technical leadership and drive technical execution in the development of advanced RF antennas that balance performance across sensing, structural, and low observable requirements. You will be the technical lead for a team of engineers designing and integrating modern RF apertures and antennas. You will work with the IPT leader and IPT Chief Engineer to ensure the team produces a compliant system design. Position Responsibilities: Drives technical excellence throughout all aperture design activities Provides technical leadership and ensures use of best practices across programs Provides oversight and approval of technical approaches, products, and processes. Works closely with program managers, program chief engineers, and other Boeing teams to ensure mission success and prompt resolution of anomalies Provides mentoring and coaching to other aperture design engineers Captures lessons learned and best practices for implementation on future programs Resolves complex problems impacting completion of program milestones Basic Qualifications (Required Skills and Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement <

Datadog's Digital Experience Monitoring (DEM) group is one of the company's fastest-growing product areas, spanning Real User Monitoring (RUM), Product Analytics, Synthetic Monitoring, Feature Flags, and Datadog Studio, our newest AI-native observability surface. As Director, you will own engineering for one or more of these product areas, with scope shaped by your background and interests, and you will manage 50-60 engineers through a team of Engineering Managers. You'll partner with Senior Directors and product leadership to shape the roadmap, not just execute against it, and you'll help drive AI adoption across engineering tooling, workflows, and product features. This role is based in Paris, one of Datadog's most established engineering hubs, with a clear growth path to Senior Director for the right candidate. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: Own engineering for one or more DEM product areas with scope calibrated to your background and strengths Manage 50-60 engineers through a layer of Engineering Managers; this is a manager-of-managers role Shape the roadmap alongside product leadership rather than simply executing against it — push back on, iterate on, and help author the strategy for your area Drive AI adoption across the engineering org, from tooling and workflows to product features and team practices Navigate cross-team dependencies across DEM, APM, Core Platform, AI Platform, and Data Science Build and retain engineering talent in Paris, mentor Engineering Managers toward Director readiness, and participate in the on-call rotation Who You Are: You have directly managed Engineering Managers, not just individual contributors — this is a non-negotiable requirement for the role You integrate

Datadog is seeking a Director of Product Management to lead our AI Observability portfolio and shape how organizations build, monitor, and scale AI systems in production. This role leads LLM Observability and helps define the next wave of innovation across GPU Monitoring, Distributed AI Monitoring, and emerging research-oriented tooling such as Model Lab. You will set the vision and strategy for this rapidly growing area, expanding established products while incubating new capabilities that deliver deep visibility into AI infrastructure, model performance, and distributed AI environments. As AI becomes core to modern applications, this team plays a critical role in ensuring customers can deploy and scale AI with confidence. We’re looking for a builder-minded product leader with strong technical depth and hands-on curiosity - someone who has built or worked closely with AI-powered products and understands the realities of production AI. You will lead a team of product managers and partner closely with engineering and design to advance Datadog’s leadership in AI observability. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the vision and strategy for AI-driven products, ensuring alignment with overall company goals and customer needs. This will include managing our embed program to enhance the capabilities of existing products as well as developing dedicated and independent AI products. Lead and mentor a team of product managers, helping them grow and advance their careers while ensuring the delivery of high-quality, AI-powered features. Collaborate with cross-functional teams including engineering, data science, marketing, and sales to deliver AI product solutions that meet customer needs and business objectives. Identify new opportunities for

Datadog is seeking a Director of Product Management for Platforms to lead the internal platforms that power our global engineering organization. This is both a customer and internal platform leadership role, focused on enabling Datadog customers to maximize value with Datadog but also to enable other Datadog products to build, scale, and operate products efficiently and reliably. In this role, you will bring a combination of technical expertise, product management experience, and a deep understanding of platform and shared capabilities to help Datadog grow its leadership position. You will lead a team of product managers and collaborate with senior leadership in product, engineering and design. Your scope includes driving product features shared across all Datadog but also large-scale Datadog’s platform solutions. What You’ll Do Own the vision and strategy for platform products, ensuring alignment with overall company goals and customer needs. Identify new opportunities for innovation and drive them from concept to execution, ensuring they have a measurable impact on customers and the business. Define product roadmaps and manage the prioritization of features and initiatives to ensure the team's efforts are aligned with business goals. Drive Platform Adoption: Partner with engineering and product teams to ensure widespread adoption of shared platforms and shared features, reducing duplication and accelerating delivery. Improve Operational Efficiency: Improve developer velocity, time-to-production, and operational efficiency across Datadog’s engineering ecosystem. Collaborate with cross-functional teams including engineering, design, data science, marketing, and sales to deliver infrastructure product solutions that meet customer needs and business objectives. Define and Track Success Metrics: Define and track platform success metrics, including adoption of platform capabilities, reduction in internal toil, time-to-production improvements, cost efficienc

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Mapping team at Lyft is tasked with building a digital representation of the physical world - a map. We collect and serve the freshest and most accurate mapping data possible, along with algorithms, models, platform services, and map-based user experiences that power Lyft’s current and future transportation offerings. Mapping represents a huge opportunity for Lyft’s business, but also a big challenge. We build and scale systems that deal with large data storage, real-time data processing, machine / deep learning pipelines, routing and ETA models, driver and passenger location tracking, and more. We built beautiful and magical user experiences on top of all those services, and compete with companies that have been in the mapping business for decades. To strengthen our efforts, we are hiring a Senior ML Engineer who will work end-to-end on creating and improving new capabilities to detect changes in the environment and reflect them in our Lyft map using a wide variety of input sources from the Lyft fleet. For this we are looking for someone who values software engineering best practices, loves the algorithmic and geospatial side of the challenge and is data-driven from start to end. Our technology stack ranges from basic machine learning models to large language models and running them at scale on millions of images. You will work with incredibly passionate and talented colleagues from machine learning, data science, and engineering on projects that delight our passengers and drivers – powered by an up to date map. Responsibilities: Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing proble

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: We are looking for an Advanced Analytics Lead to help Airbnb enable travel for our millions of guests and hosts on our platform. This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS organization. The Difference You Will Make: Data thought partner to product and business leaders across teams through providing insights, recommendations, and enabling data informed decisions Drive day to day analytics and create scalable data tools Identify pain points in customer support operations and work with product leadership to improve experiences for our guest, host and agent community In addition, you will leverage Airbnb’s rich and unique data, state-of-art machine learning infrastructure, and other central data science tools to build and grow the measurement capacity within the organization. You will also be deeply involved in the technical details of the various systems we build, and will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operations agents to achieve shared, cross-functional goals to help keep Airbnb’s community safe and trusted. You are passionate about solving complex problems within the Community support domain with data & insights; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships You are a story

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Work with engineers, designers, and product managers to design and build highly scalable and secure consumer experiences that process billions of dollars per year Design and build APIs, services, systems and experiments that evaluate the effectiveness of new and existing product features against critical business metrics Coach and mentor junior engineers, assist in hiring, and partner to develop team culture/best practices Participate in all parts of the software development workflow to improve engineering standards, tooling, and processes Operate at the intersection of data science and software engineering - apply state of the art data analysis tools and ML to understand/improve product and user behaviors Build software including creation, modification, and testing of source code written in Ruby, JavaScript, Typescript, and JVM languages Who you are Minimum requirements 6 years of Software Engineering experience. Position also requires the following: 6 years of experience in building software with Typescript, Javascript, and Ruby; 4 years of experience in building web or mobile applications; 3 years of experience with SQL databases; 2 years of experience in writing technical design documents; and 1 year of experience in designing and implementing large scale consumer payment experiments. Salary: $190,400 – $285,600/yr. This salary range represents the base salary range for the role and any sales commissions / sale

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Marketing Operations team drives excellence across the shared infrastructure that the marketing and sales development teams depend on: lead routing and lead management, prospect data, campaign production, marketing systems, and sales development systems. The infrastructure covers three vertical channel groups: inbound and outbound sales, digital marketing, and in-person events. We ensure that the underlying operations and systems are reliable, scalable, and well-maintained. In close partnership with Demand Generation Systems, Marketing Operations enables global and region marketers and Sales Development Representatives to focus on driving revenue rather than wrestling with operations and systems. What you’ll do We are looking for a Head of Marketing Operations to lead a critical team to help power Stripe's growth. You will set the direction of marketing operations, solve time-sensitive and complex operational and systems challenges, and develop managers and individual contributors. You will be an indispensable partner to peers in Marketing, Sales Development, Product Management, Engineering, Analytics, and Data Science. You will be directly responsible for a global marketing operations team of 15-20, in addition to 25-30 production specialists with a dotted-line reporting relationship. Responsibilities Drive excellence in the operations and systems that support inbound and outbound sales, digital marketing channels, and in-person eve

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake delivers the AI Data Cloud, a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud. WHO YOU ARE: Snowflake is experiencing exponential growth, and we are expanding our Alliances team to help us scale. We are looking for a strategic leader to scale our most critical Technology partnerships. As Sr. Partner Development Manager, Strategic Platform & AI Partnerships, you will own the 360-degree relationship for high-value technology partners. The primary focus of the role is supporting our joint customers and sales teams with effective joint go-to-market and resell/co-sell success. Reporting to Sn

About the Team The DoorDash Campaign Operations team’s mission is to efficiently deliver high quality, relevant CRM communications that meet the needs of our audiences, globally. To accomplish this mission, we’re building a team of technical CRM and lifecycle marketing experts who build, QA, and launch email, push, SMS, and in-app campaigns designed by our Lifecycle Marketing partners. This team is goaled on high-quality campaign delivery and operational efficiency so that each campaign reaches the correct audience on-time with excellent craft. About the Role As the Senior Associate, Campaign Operations, you will be responsible for building, testing, and launching CRM and Lifecycle Marketing campaigns designed by our Lifecycle Marketing partners. This is a hands-on CRM execution and QA role — not a brand, content, social media, performance-marketing, or campaign-strategy position. You will partner closely with the Lifecycle Marketing team and Project Managers to ensure each campaign has completed all required steps prior to launch, and is delivered on time to the end-consumer, with high quality and excellent craft. You will be responsible for the high quality campaign delivery rate and production efficiency of each campaign launch. This role will report to the Campaign Ops Manager who sits in Mexico City. You’re excited about this opportunity because you will… Campaign QA & Execution: Build, test, and launch CRM and lifecycle marketing campaigns across email, push notifications, SMS, in-app messaging, and other channels using Braze and in-house tools. Own the end-to-end QA review process, build target audience segments and personalization logic, and collaborate with designers and copywriters to execute against the campaign brief. Cross-functional Collaboration: Partner with teams such as Lifecycle Marketing, Martech, Data Science, Product, Engineering, and Design to align on CRM campaign goals, audience segmentation, and creative execution. Performan